摘要:
In a method and apparatus for image processing an algorithm is used to detect radiological signals in a series of 3D data. The algorithm indicates the position of a radiological signs in a digital volume by means of markers. The algorithm has the potential to distinguish automatically between malignant elements and benign elements. The algorithm comprises a fuzzy logic approach to explain the ambiguities in the image. The algorithm is applied directly to the radiography projection images.
摘要:
In a method and apparatus for image processing an algorithm is used to detect radiological signals in a series of 3D data. The algorithm indicates the position of a radiological signs in a digital volume by means of markers. The algorithm has the potential to distinguish automatically between malignant elements and benign elements. The algorithm comprises a fuzzy logic approach to explain the ambiguities in the image. The algorithm is applied directly to the radiography projection images.
摘要:
An x-ray device comprises means for the production of at least one standard projection image of the object in which presumed suspect zones corresponding to radiological signs are represented by markers. The device comprises means for the production of a digital volume of markers in which 3D markers are created in order to represent presumed suspect zones of the object. It also comprises means of re-projection of the 3D markers in the standard projection image in order to confirm the presence of the markers or eliminate or add the markers of the projection image is necessary.
摘要:
In an image-processing method for the detection of radiological signs in series of 3D data, an algorithm is used to detect radiological signs in a digital volume according to their contrasts. This algorithm is applied to reconstructed slices or directly to the series of projections. This algorithm is made by means of linear differential filters for signal analysis. It is used to color or enhance the intensity of the detected radiological signals according to the degree of malignancy.
摘要:
In a method for the processing of radiology images for detection of radiological signs, an algorithm is provided to detect such radiological signs on projections as a function of their contrasts. These contrasts are measured by using the responses of linear differential filters with different scale parameters. The method can be used to color or enhance the intensity of the radiological signs detected as a function of their degree of malignancy. The algorithm may be applied directly to the signal given by the detector.
摘要:
In an image-processing method for the detection of radiological signs in series of 3D data, an algorithm is used to detect radiological signs in a digital volume according to their contrasts. This algorithm is applied to reconstructed slices or directly to the series of projections. This algorithm is made by means of linear differential filters for signal analysis. It is used to color or enhance the intensity of the detected radiological signals according to the degree of malignancy.
摘要:
In a method for the processing of radiology images for detection of radiological signs, an algorithm is provided to detect such radiological signs on projections as a function of their contrasts. These contrasts are measured by using the responses of linear differential filters with different scale parameters. The method can be used to color or enhance the intensity of the radiological signs detected as a function of their degree of malignancy. The algorithm may be applied directly to the signal given by the detector.
摘要:
A method of image processing in a radiological apparatus includes reconstructing a 3D image of a body from a set of radiography projection images, locating structures presumed to be representative of 3D radiological signs within the 3D image, determining a set of 2D candidate particles corresponding to projections of the presumed 3D radiological signs, assigning, through a fuzzy logic description, to the 2D candidate particles a degree of membership in 2D membership classes of a set of membership classes, each membership class being relative to a type of radiological sign, considering a 2D fuzzy particle being formed by the set of the 2D candidate particles and by their respective degrees of membership in a class, making an aggregate of the 2D fuzzy particles to obtain 3D fuzzy particles in a digital volume, and determining a degree of confidence for each 3D radiological sign from the 3D fuzzy particles.
摘要:
A method of image processing in a radiological apparatus includes reconstructing a 3D image of a body from a set of radiography projection images, locating structures presumed to be representative of 3D radiological signs within the 3D image, determining a set of 2D candidate particles corresponding to projections of the presumed 3D radiological signs, assigning, through a fuzzy logic description, to the 2D candidate particles a degree of membership in 2D membership classes of a set of membership classes, each membership class being relative to a type of radiological sign, considering a 2D fuzzy particle being formed by the set of the 2D candidate particles and by their respective degrees of membership in a class, making an aggregate of the 2D fuzzy particles to obtain 3D fuzzy particles in a digital volume, and determining a degree of confidence for each 3D radiological sign from the 3D fuzzy particles.
摘要:
A method to generate a final image with a medical imaging system, wherein the final image highlights suspect regions in a tissue matrix and wherein the final image is generated from a first image and from previously acquired images of the tissue matrix is provided. The method comprises: creating a 3D map of suspicion from the previously acquired medical images; generating a 2D map of suspicion by projecting all or part of the 3D map of suspicion onto a plane from a point reproducing the conditions of acquisition of the first image; and generating a final 2D image of the tissue matrix from the first image and/or from the 2D map of suspicion, wherein the final 2D image highlights suspect regions in the tissue matrix.